DevOps&SRE Library
Open in Telegram
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
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Network:📈 Analytical overview of Telegram channel DevOps&SRE Library
Channel DevOps&SRE Library (@devopslibrary) in the English language segment is an active participant. Currently, the community unites 19 847 subscribers, ranking 6 462 in the Technologies & Applications category and 33 046 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 847 subscribers.
According to the latest data from 15 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 115 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 15.05%. Within the first 24 hours after publication, content typically collects 7.04% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 987 views. Within the first day, a publication typically gains 1 398 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 10.
- Thematic interests: Content is focused on key topics such as kubernete, cluster, infrastructure, storage, configuration.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Thanks to the high frequency of updates (latest data received on 16 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
19 847
Subscribers
+1024 hours
+357 days
+11530 days
Data loading in progress...
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| Date | Subscriber Growth | Mentions | Channels | |
| 16 September | 0 | |||
| 15 September | +12 | |||
| 14 September | +8 | |||
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| 04 September | +11 | |||
| 03 September | +7 | |||
| 02 September | +8 | |||
| 01 September | +11 |
Channel Posts
substrate
Agent Substrate delivers a performant, high density runtime environment for large scale agent deployments. At its core, Agent Substrate maps a larger set of "actors" (applications such as agents) onto a smaller set of ready "workers", relying on the fact that agent-like applications tend to be idle most of the time to achieve heavy multiplexing.https://github.com/agent-substrate/substrate
| 2 | ksolver
Kubernetes cluster cost optimizer. Connects to a live cluster (or a saved snapshot), collects every scheduling constraint, and uses CP-SAT constraint programming to find the cheapest node fleet that still satisfies all placement rules.
https://github.com/syslenslabs/ksolver | 1 325 |
| 3 | grpc-streams-checker
Synthetic monitoring for gRPC server-side streams — open each stream, verify frames actually arrive, and export Prometheus metrics.
https://github.com/youngpabl0/grpc-streams-checker | 1 616 |
| 4 | k8s-mechanic
k8s-mechanic is a Kubernetes controller that watches your cluster for failures, investigates them automatically, and opens pull requests on your GitOps repository with proposed fixes — all without leaving your cluster. When a Pod is crash-looping, a Deployment is degraded, or a Node goes NotReady, mechanic spawns an in-cluster OpenCode agent that inspects the live cluster, locates the relevant manifests in your GitOps repo, determines the root cause, and opens a PR.
https://github.com/lenaxia/k8s-mechanic | 1 668 |
| 5 |  🤖 DevOps в эпоху AI трансформации: что работает уже сейчас!
17 сентября Сбер собирает DevOps-инженеров, SRE и платформенные команды на встречу о том, как AI меняет работу с инфраструктурой, релизами и безопасностью.
Обсудим:
🔘Platform Engineering и IDP: как строить внутренние платформы без лишней сложности
🔘Agentic engineering: каких агентов уже можно доверить пайплайнам
🔘Security на скорости: как закрывать уязвимости, когда счет идет на часы
Своим опытом поделятся практики из Авито, Сбера, Cloud․ru и Т-Банка.
Встречаемся 17 сентября в 17:00 в Сбер.Среде (Москва, Земляной Вал 9А) или онлайн. Мест всего 150 — успей занять своё по ссылке! | 1 811 |
| 6 | Ephemeral Environments: Automating QA for Reliable Cloud-Native Systems
Ephemeral environments are short-lived, isolated, fully provisioned, on-demand test environments created automatically from a pull request and destroyed the moment their job is done. This guide walks through why traditional environments fail, what ephemeral environments actually are, the modern stack that powers them, and a concrete, code-level blueprint for building your first ephemeral testing pipeline.
https://medium.com/@shezakhanashraf/ephemeral-environments-automating-qa-for-reliable-cloud-native-systems-9c94035feaf6 | 1 661 |
| 7 | An 8-minute outage from a dead NLB and a JVM that cached DNS forever
We drained a Network Load Balancer during a planned migration, and one internal service kept hammering the dead IPs for 8 minutes. The cause wasn't the failover. It was a JVM caching the DNS record forever. The fix was a 30-second TTL and a health-check tweak, not a smarter system.
https://dev.to/claire_nguyen/an-8-minute-outage-from-a-dead-nlb-and-a-jvm-that-cached-dns-forever-4dmj | 1 828 |
| 8 | Dagster on Kubernetes: When More Nodes Won't Save You
You've scaled up your Kubernetes cluster. EC2 instances are running. CPU and memory metrics look reasonable. And yet — the number of completed Dagster runs stubbornly refuses to climb. This article walks through the full diagnostic journey — from the obvious knobs to the hidden PostgreSQL bottleneck that probably nobody warns you about.
https://medium.com/@wojciech.szyba/dagster-on-kubernetes-when-more-nodes-wont-save-you-d591ba6669fd | 1 904 |
| 9 | OpenViking
OpenViking is an open-source context database for AI agents. It stores memories, resources, and skills as one virtual filesystem under the viking:// protocol, so an agent browses its own context with ls, tree, and find instead of querying a black-box vector store. Content is processed into three tiers — L0 abstract, L1 overview, L2 details — and loaded on demand. Every retrieval leaves a trajectory you can watch and debug.
https://github.com/volcengine/OpenViking | 2 048 |
| 10 | kern
A fast, rootless sandbox and virtual resource runtime for any workload, including untrusted and AI-generated code. Daemonless: a real, kernel-enforced container in ~3.5 ms from an OCI image, no daemon, one 1.52 MB static binary.
https://github.com/getkern/kern | 2 079 |
| 11 | picomq
PicoMQ is durable, real-time streams over HTTP, built on S3-compatible object storage.
https://github.com/picomq/picomq | 2 218 |
| 12 | skim
We spend so much of our time navigating through files, lines, and commands. That's where Skim comes in! It's a powerful fuzzy finder designed to make your workflow faster and more efficient.
https://github.com/skim-rs/skim | 2 340 |
| 13 | chatto
A fully-featured team and group chat application that you can easily selfhost.
https://github.com/chattocorp/chatto | 2 563 |
| 14 |  +4⚡️⚡️Инциденты, метрики и спасенный прод на DevOops 2026
Даже самая отказоустойчивая инфраструктура иногда преподносит сюрпризы, а один неудачный коммит может устроить всей команде долгий вечер.
На DevOops 2026 будут разбирать, что делать с такими ситуациями в реальной инфраструктуре: от проблем с Kubernetes и GitOps до инцидентов, метрик и observability.
Программный комитет выбрал восемь докладов, которые рекомендует посмотреть в первую очередь.
Здесь — Kafka в Kubernetes, архитектура корпоративного GPT, GitOps без лишнего blast radius, security-политики, надежность, DORA и observability.
Все подробности — в карточках и на сайте.
🔥С промокодом devopslibrary персональные билеты дешевле
Купить билет | 2 818 |
| 15 | tig
Tig is an ncurses-based text-mode interface for git. It functions mainly as a Git repository browser, but can also assist in staging changes for commit at chunk level and act as a pager for output from various Git commands.
https://github.com/jonas/tig | 2 317 |
| 16 | codegraph
Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, and Hermes Agent — fewer tokens, fewer tool calls, 100% local
https://github.com/colbymchenry/codegraph | 2 604 |
| 17 | vicinae
A focused launcher for your desktop - native, fast, extensible
https://github.com/vicinaehq/vicinae | 2 681 |
| 18 | spiderpool
Spiderpool is an underlay and RDMA network solution for the Kubernetes. It enhances the capabilities of Macvlan CNI, ipvlan CNI, SR-IOV CNI, fulfills various networking needs, and supports to run on bare metal, virtual machine, and public cloud environments. Spiderpool delivers exceptional network performance, particularly benefiting network I/O-intensive and low-latency applications like storage, middleware, and AI.
https://github.com/spidernet-io/spiderpool | 2 764 |
| 19 | workmux
Giga opinionated zero-friction workflow tool for managing git worktrees and tmux windows as isolated development environments. Perfect for running multiple AI agents in parallel without conflict.
https://github.com/raine/workmux | 2 737 |
| 20 | argo9s
A K9s-inspired terminal UI for monitoring Argo CD resources in real-time
https://github.com/vvrnv/argo9s | 3 999 |
